In this paper, we propose a context aware system for personalized services using wearable biological signal sensors, by which a user can be provided with a personalized services via a user terminal device on the basis of information of user's stress level derived from biological signals measured using biological signal sensors, and usage behavioral habits of services by a user. The system of this paper is composed of a user terminal device, wearable biological signal sensors, and service providers connected with a user terminal device through external public network. Wearable biological signal sensors are connected with a user terminal device via WPAN communication technology. Stress level of a user is calculated using biological signal sensor values when a service is selected and used by a user. And, user's usage behavioral habits of a service are tracked, like usage time, usage duration, and usage frequency, etc. The gathered information is used to derive user's preference of a service. By using the system mentioned above, a user can be provided with a personalized service which is given on most preferred time, and adjusted to fit a user's preference. To show the feasibility of the proposed system, we apply the system to the music recommendation service.
KSP Keywords
Biological signals, Context aware system, Personalized service, Service Provider, Stress level, User's Preference, communication technologies, music recommendation, signal sensor, terminal device
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